The impact of intuitive eating on the association between posttraumatic stress disorder (PTSD) symptoms and disordered eating among women who have experienced intimate partner violence (IPV).

OBJECTIVE: Trauma exposure is associated with disordered eating, with recent evidence suggesting PTSD symptoms may be a more proximal predictor. Intuitive eating is a well-established protective factor against disordered eating; however, no previous studies have assessed whether intuitive eating buffers the association between PTSD symptoms and disordered eating. METHODS: Two hundred sixteen women who had experienced intimate partner violence (IPV) and were residing at a domestic violence shelter completed a survey. The current study assessed the moderating role of intuitive eating in the associations between PTSD symptoms and two types of disordered eating behaviors: binge eating and compensatory behaviors. RESULTS: Intuitive eating did not moderate the association between PTSD symptoms and a dichotomous measure of binge eating (no binge eating vs. any binge eating). However, intuitive eating did moderate the association between PTSD symptoms and binge frequency, among participants endorsing any degree of binge eating, such that PTSD symptoms were significantly associated with binge frequency at low, but not moderate or high, levels of intuitive eating. Intuitive eating did not moderate the association between PTSD symptoms and compensatory behaviors. DISCUSSION: Results suggest intuitive eating may be protective against binge eating frequency among women who have experienced IPV.

Weight change in a national cohort of U.S. Military Veterans engaged in medication treatment for opioid use disorder.

Medication treatments for opioid use disorder (MOUD) save lives and improve outcomes for countless individuals. However, data suggest the potential for significant weight gain during methadone treatment and little is known about weight change during buprenorphine treatment. Using Veteran Health Administration administrative data from fiscal year 2017 to fiscal year 2019, two cohorts were created: 1) Veterans diagnosed with opioid use disorder (OUD) taking methadone (N = 1425); and 2) Veterans diagnosed with OUD taking buprenorphine (N = 3756). Linear mixed models were used to analyze weight change during the first MOUD treatment episode in the observation period. Random slopes and intercepts were included in the model to estimate variation in BMI across individuals and time. The data revealed a slight upward trend in BMI over the course of treatment. Specifically, a daily increase of 0.004 for Veterans in methadone treatment and 0.002 for Veterans in buprenorphine treatment was observed. This translates to a gain of about 10 pounds over the course of 1 year of methadone treatment and 5 pounds for 1 year of buprenorphine treatment for a Veteran of average height and weight. The amount of weight gain in methadone treatment is significantly less than other published findings, but nonetheless indicates that assessment and discussions between patients and providers related to weight may be warranted.

The impact of body image dissatisfaction on psychological distress and health-related quality of life among patients in methadone treatment.

BACKGROUND AND OBJECTIVES: Minimal research has examined body image dissatisfaction (BID) among patients receiving methadone maintenance treatment (MMT). We tested associations between BID and MMT quality indicators (psychological distress, mental and physical health-related quality of life [HRQoL]) and whether these associations varied by gender. METHODS: One hundred and sixty-four participants (n = 164) in MMT completed self-report measures of body mass index (BMI), BID, and MMT quality indicators. General linear models tested if BID was associated with MMT quality indicators. RESULTS: Patients were primarily non-Hispanic White (56%) men (59%) with an average BMI in the overweight range. Approximately 30% of the sample had moderate or marked BID. Women and patients with a BMI in the obese range reported higher BID than men and patients with normal weight, respectively. BID was associated with higher psychological distress, lower physical HRQoL, and was unrelated to mental HRQoL. However, there was a significant interaction in which the association between BID and lower mental HRQoL was stronger for men than women. DISCUSSION AND CONCLUSIONS: Moderate or marked BID is present for about three in 10 patients. These data also suggest that BID is tied to important MMT quality indicators, and that these associations can vary by gender. The long-term course of MMT may allow for assessing and addressing novel factors influencing MMT outcomes, including BID. SCIENTIFIC SIGNIFICANCE: This is one of the first studies to examine BID among MMT patients, and it highlights MMT subgroups most at risk for BID and reduced MMT quality indicators due to BID.

Weight change among patients engaged in medication treatment for opioid use disorder: a scoping review.

Background: Medication treatment for opioid use disorder (MOUD) is an instrumental tool in combatting opioid use and overdose. Excess weight gain associated with MOUD initiation is a potential barrier that is not well understood.Objectives: Conduct a scoping review of available studies investigating the effect of MOUD on weight.Methods: Included studies consisted of adults taking any type of MOUD (e.g. methadone, buprenorphine/naloxone, naltrexone) with data on weight or body mass index for at least two time points. Evidence was synthesized using qualitative and descriptive approaches, and predictors of weight gain including demographics, comorbid substance use, and medication dose were examined.Results: Twenty-one unique studies were identified. Most studies were uncontrolled cohort studies or retrospective chart reviews testing the association between methadone and weight gain (n = 16). Studies examining 6 months of methadone treatment reported weight gain ranging from 4.2 to 23.4 pounds. Women appear to gain more weight from methadone than men, while patients using cocaine may gain less. Racial and ethnic disparities were largely unexamined. Only three case reports and two nonrandomized studies examined the effects of either buprenorphine/naloxone or naltrexone, and potential associations with weight gain were not clear.Conclusion: The use of methadone as an MOUD appears to be associated with mild to moderate weight gain. In contrast, there is little data supporting or refuting weight gain with buprenorphine/naloxone or naltrexone. Providers should discuss the potential risk for weight gain with patients as well as prevention and intervention methods for excess weight gain.

Childhood Adversity, Addiction Severity, and Comorbidity Among Patients Receiving Opioid Use Disorder Treatment: The Role of Emotion Regulation.

ABSTRACT: Patients in opioid use disorder (OUD) treatment report high rates of childhood adversity, and women experience greater exposure to certain types of childhood adversity ( e.g. , sexual abuse). Childhood adversity is associated with clinical severity, but the mechanisms explaining this association are not well understood. Participants ( N = 171) in opioid agonist treatment completed measures of childhood adversity, emotion regulation, and clinical severity ( i.e. , addictive behaviors, depression, and anxiety). Women endorsed greater childhood adversity and higher current psychopathology than men. The association between childhood adversity and clinical severity varied as a function of symptom type, although emotion regulation was a strong predictor in all models. Women reported higher levels of anxiety after controlling for covariates, childhood adversity, and emotion dysregulation. Future research should investigate treatment strategies to address emotion dysregulation among patients in OUD treatment, particularly women who may present with greater childhood adversity exposure and anxiety.

Co-occurring alcohol use disorder and obesity in U.S. military veterans: Prevalence, risk factors, and clinical features.

Obesity and alcohol use disorder (AUD) are two of the most prevalent and costly clinical conditions among U.S. military veterans, and these conditions often co-occur. However, little is known about the clinical correlates of co-occurring obesity and AUD, which is critical to informing effective interventions. The current study analyzed data from a nationally representative sample of 4069 (3463 males, 479 females) veterans, who completed an online survey. The Alcohol Use Disorder Identification Test was used to identify veterans who screened positive for probable AUD (pAUD) and self-reported height and weight was used to calculate body mass index and identify veterans with obesity. Multinomial logistic regression was used to examine differences between four groups: controls (no current AUD or obesity), pAUD only, obesity only, and pAUD + obesity. A total of 1390 (36.1%) veterans had obesity, 10.5% (n = 359) had pAUD, and 3.7% (n = 124) had pAUD and obesity. Relative to veterans without AUD, Veterans with pAUD were less likely to have normal/lean weight (14.6% versus 21.4%) and more likely to have overweight (49.6% versus 41.7%). Veterans with pAUD + obesity were nearly twice as likely than veterans with pAUD to report three or more adverse childhood experiences. The results of this study help inform the clinical presentation and needs of veterans with co-occurring obesity and AUD. They also underscore the importance of regularly monitoring weight among veterans with AUD, and considering the role of childhood adversity as a risk factor for co-occurring AUD and obesity.

Associations between average step counts, variability in step counts and nonhomeostatic eating.

PURPOSE: Nonhomeostatic drives (e.g., reward and negative emotion) for eating are associated with weight gain over time. Higher average and lower intraindividual variability in physical activity (PA) levels are positively associated with health and weight outcomes, but have not been evaluated in relation to nonhomeostatic eating. The aim of this paper is to examine the associations between PA and nonhomeostatic drives for eating. The hypotheses were that average levels of and consistency in PA would be negatively correlated with nonhomeostatic eating. METHODS: Adult participants (N = 432) were recruited online and asked to report objectively measured PA using commercially available PA monitors for the previous 7 days and to complete self-report measures of reward-driven and emotional eating. RESULTS: Average daily steps (M = 6519.36) were negatively associated with emotional eating, but were not significantly related to reward-driven eating. Intraindividual variability in steps (M = 2209.85) was not associated with either type of nonhomeostatic eating. Adjusting for relevant covariates (e.g., age, BMI, gender), average daily step count was negatively associated with emotional eating (p = 0.01) but not reward-driven eating (p = 0.31) and variability in step counts was positively associated with reward-driven eating (p = 0.04) but not emotional eating (p = 0.52). CONCLUSION: The results suggest that greater average levels and lower variability in PA are related to lower nonhomeostatic eating; thus, complex associations between PA and eating exist, and may impact weight and outcomes of treatment related to eating and weight. LEVEL OF EVIDENCE: V, cross-sectional correlation study.

Examining impairment and distress from food addiction across demographic and weight groups.

Rates of food addiction (FA) vary across weight and demographic groups. Factors influencing discrepant prevalence rates are largely unknown. Rates of clinically significant distress or impairment also vary across demographic groups, yet prior studies have overlooked the diagnostic significance of distress/impairment in heterogenous groups. We tested if weight and demographic groups differed in their likelihood of endorsing distress/impairment from FA. Participants (N = 1832) recruited from Amazon Mechanical Turk completed the modified Yale Food Addiction Scale 2.0 (mYFAS). The mYFAS includes 11 dichotomous symptom indicators and one dichotomous distress/impairment indicator. Differences in distress/impairment were tested across weight, sex, racial/ethnic, and educational groups using logistic regression. FA severity was controlled for using FA symptom count. There were no differences among racial/ethnic and educational groups (p > 0.05). Compared to men, women were more likely to report distress/impairment (aOR = 1.96, 95% CI = 1.28-3.03). People with obesity were more likely to report distress/impairment compared to people with overweight (aOR = 2.20, 95% CI = 1.39-3.49) or normal weight (aOR = 1.99, 95% CI = 1.26-3.13). Individual characteristics (i.e., sex, weight) may influence reporting of distress/impairment from FA. Further inquiry may be appropriate for men and people with normal weight or overweight presenting with FA symptoms who otherwise deny distress/impairment.

Disordered eating following bariatric surgery: a review of measurement and conceptual considerations.

Eating disorders are associated with significant medical morbidity and mortality and serious psychological impairment. Individuals seeking bariatric surgery represent a high-risk group for evidencing disordered eating and eating disorders, with some patients experiencing the persistence or onset of disordered eating postsurgery. This review synthesizes the available literature on problematic or disordered eating in the bariatric field, followed by a review of measurement and conceptual considerations related to the use of eating disorder assessment tools within the bariatric population.

Impulsivity and compulsivity in binge eating disorder: A systematic review of behavioral studies.

BACKGROUND: Binge eating disorder (BED) often includes impulsive and compulsive behaviors related to eating behavior and food. Impulsivity and compulsivity generally may contribute to the etiology and maintenance of multiple psychiatric disorders including BED. This review aimed to identify and synthesize available behavioral studies of impulsivity and compulsivity among individuals with BED. METHOD: A systematic search was performed focusing on BED and specific facets of impulsivity (rapid response and choice) and compulsivity (set-shifting, cognitive flexibility, and/or habit learning). All case-control studies comparing adults with either full-threshold or subthreshold BED to individuals with normal weight, overweight/obesity, or other eating disorders (e.g., bulimia nervosa) were included. RESULTS: Thirty-two studies representing 29 unique samples met inclusion criteria. Increased choice impulsivity was observed among individuals with BED relative to individuals with normal weight. There were mixed findings and/or a lack of available evidence regarding rapid response impulsivity and compulsivity. The presence of between-group differences was not dependent on sample characteristics (e.g., full or sub threshold BED diagnosis, or treatment-seeking status). Heterogeneity relating to covariates, task methodologies, and power limited conclusions. CONCLUSIONS: Literature supports a postive association between choice impulsivity and BED. More research is needed to determine if individuals with BED demonstrate elevated levels of either rapid response impulsivity or types of compulsivity. Careful selection of covariates and consideration of task methodologies and power would aid future research.

Substance Use, Gambling, Binge-Eating, and Hypersexuality Symptoms Among Patients Receiving Opioid Agonist Therapies.

BACKGROUND AND OBJECTIVES: Patients receiving opioid agonist therapies have high rates of psychiatric comorbidity. Some data suggest that comorbidity is associated with poorer treatment outcomes. The current study assessed predictors of multiple putative addictive behaviors among patients receiving opioid agonist therapies. METHODS: Adults (N = 176) recruited from an outpatient clinic providing opioid agonist therapy completed self-report measures of depression, anxiety, impulsivity, adverse childhood events, and the Recognizing Addictive Disorders (RAD) scale, which includes seven subscales assessing symptoms related to alcohol use, drug use, tobacco use, gambling, binge-eating, hypersexual behavior, and excessive video-gaming. Linear regression and hurdle models identified significant predictors of RAD subscales. Hurdle models included logistic regression estimation for the presence/absence of symptoms and negative binomial regression for estimation of the severity of symptoms. RESULTS: Most patients did not report significant symptoms beyond drug or tobacco use. However, 7% to 47% of participants reported some symptoms of other addictive behaviors (subscale score > 0). Higher impulsivity predicted the presence and/or increased severity of symptoms of drug use, gambling, binge-eating, and hypersexuality. Higher depression significantly predicted increased severity of drug use and binge-eating symptoms. Increased anxiety predicted lower severity of alcohol use and binge-eating and higher severity of smoking symptoms. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: A broader range of potentially addictive symptoms may be present among patients engaged in treatment for opioid use disorder. Few studies have assessed symptoms of binge-eating, hypersexuality, and excessive video-gaming among patients receiving opioid agonist therapy. This study contributes to preliminary findings and highlights important future directions. (Am J Addict 2021;00:00-00).

Examining the construct validity of food addiction severity specifiers.

PURPOSE: Food addiction (FA) is related to greater body mass index (BMI), eating-disorder psychopathology, food craving, and psychosocial impairment. Less is known regarding the utility of the FA severity specifiers, as measured by the number of symptoms endorsed on the Yale Food Addiction Scale (YFAS 2.0). METHODS: Participants (N = 1854) were recruited from Amazon Mechanical Turk to complete an online survey on eating behaviors. Participants completed self-report measures assessing FA, eating-disorder psychopathology (Eating Disorder Examination Questionnaire), and food craving (Food Craving Inventory). Based on the YFAS 2.0 specifiers, participants were classified into four FA groups: No FA (n = 1643), mild (n = 40), moderate (n = 55), and severe (n = 116). RESULTS: There were significant differences found in age, sex, BMI, and frequency of objective binge-eating episodes (OBEs) among the FA groups. Using ANCOVA, adjusted for multiple comparisons and covariates (e.g., BMI, sex, OBEs), the No FA group reported significantly lower levels of shape concern (η2 = 0.05; p < 0.001), weight concern (η2 = 0.04; p < 0.001), eating concern (η2 = 0.15; p < 0.001), and global eating-disorder psychopathology (η2 = 0.06; p < 0.001) than mild, moderate, or severe FA groups. The No FA group reported significantly lower levels of dietary restraint (η2 = 0.01; p < 0.01) than mild and severe FA groups. The severe FA group reported higher food craving scores (η2 = 0.02; p < 0.001) compared to the No FA group. CONCLUSION: Our findings parallel the severity specifiers literature for eating and substance use disorders by also indicating the limited utility of severity specifiers based on symptom count. Future research should investigate alternative targets for discriminating among levels of FA. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.

Race, Ethnicity, and Clinical Features of Alcohol Use Disorder Among US Military Veterans: Results From the National Health and Resilience in Veterans Study.

BACKGROUND AND OBJECTIVES: Alcohol use disorder (AUD) is highly prevalent in US military veterans, though little is known about whether the psychiatric comorbidities and functional outcomes (ie, clinical features) of AUD differ across race/ethnic groups. We aimed to identify differences in the clinical features of veterans with AUD by race/ethnicity. METHODS: In a sample of veterans with AUD (n = 1212) from the nationally representative National Health and Resilience in Veterans Study, we compared the clinical features associated with AUD across racial/ethnic groups using analysis of covariance and logistic regression. RESULTS: Black veterans (n = 60, 34.0%) were less likely to screen positive for lifetime AUD compared with white (n = 1099, 42.7%) and Hispanic (n = 53, 41.5%) veterans. Among those with lifetime AUD, Hispanic veterans were more likely than white veterans to have lifetime and current mood or anxiety disorders (adjusted odds ratio range [AORR] = 2.21-2.52, P < .05). Black veterans were more likely than white veterans to have current mood and anxiety disorders (AORR = 2.01-3.07, P < .05). Hispanic veterans reported poorer functioning and quality of life than white and black veterans (Cohen's d range = 0.12-0.37, P < .05). DISCUSSION AND CONCLUSIONS: Black and Hispanic veterans with lifetime AUD may experience a higher disease burden relative to white veterans. Results underscore the importance of race/ethnicity-sensitive assessment, monitoring, and treatment of AUD for veterans. SCIENTIFIC SIGNIFICANCE: This is the first known study to examine differences by race/ethnicity in the clinical features of Veterans with AUD in a nationally representative sample. Findings suggest higher disease burden for racial/ethnic minority veterans. (Am J Addict 2021;30:26-33).

Examining heterogeneity of binge-eating disorder using latent class analysis.

There is significant variability in the type and severity of symptoms reported by individuals diagnosed with binge-eating disorder (BED). Using latent class analysis (LCA), the current study aimed to investigate potential sources of heterogeneity among individuals with BED. Participants were 775 treatment-seeking adults with DSM-IV-defined BED. Doctoral research clinicians reliably assessed participants for BED and associated eating-disorder psychopathology using the Structured Clinical Interview for DSM-IV Disorders and the Eating Disorder Examination (EDE) interview, measured weight and height, and participants completed a battery of self-report measures. Based on fit statistics and class interpretability, a 2-class model yielded the best overall fit to the data. The two classes were most distinct with respect to differences in body image concerns, distress about binge-eating, and depressive symptomology. Number of binge episodes were significantly different between classes, though the effect was much smaller. Body mass index was not a significant covariate in the majority of models. The results show that many of the features currently used to define BED (e.g., binge-eating frequency) are not helpful in explaining heterogeneity among individuals with BED. Instead, body image disturbances, which are not currently included as a part of the diagnostic classification system, appear to differentiate distinct subgroups of individuals with BED. Future research examining subgroups based on body image could be integral to resolving ongoing conflicting evidence related to the etiology and maintenance of BED.

Development and Validation of the Recognizing Addictive Disorders Scale: A Transdiagnostic Measure of Substance-Related and Other Addictive Disorders.

OBJECTIVE: Substance use disorders and behavioral addictions commonly co-occur. However, few available self-report measures reliably and validly assess the full range of addictive conditions. The development and initial validation of a new measure-Recognizing Addictive Disorders (RADs) scale addresses a significant gap in the literature. Method: After items were generated and evaluated in Study 1, Study 2 (N = 300), applied exploratory factor analysis to the item pool using an online-based community sample. In Study 3 (N = 427), the factor structure was validated using an independent online-based community sample and confirmatory factor analysis. Results: The scale demonstrated good internal consistency (a = .92) and construct validity, including replication of the factor structure (χ2 (553) = 760.83, p < .001, CFI = .997, TLI = .997, RMSEA = .030) and correlation with a related transdiagnostic measure of addiction (r = .72). Discussion: Overall, results support the preliminary validity of a brief transdiagnostic measure of addiction that considers a diverse range of behaviors. For patients presenting to substance abuse treatment, this tool may be useful in identifying symptoms of other types of non-substance problems, which could ultimately aid in treatment planning.

Considering Food Addiction through a Cultural Lens.

PURPOSE OF REVIEW: Research suggests that cultural factors influence eating behaviors, however little is known about the relationship between food addiction and culture. This narrative review aimed to i) review theoretically related work on the relationship between sociocultural demographic variables, food cravings, and eating disorders; ii) review the available literature assessing cultural aspects of food addiction, specifically the rates of food addiction across the globe and notable differences in relevant sociodemographic variables: race, ethnicity, gender and acculturation level; iii) discuss the potential impact of culture on our current understanding of food addiction and future research directions emphasizing the inclusion of sociocultural variables. RECENT FINDINGS: Preliminary data suggest that food addiction symptoms occur cross-culturally, and that there may be significant differences between sociodemographic groups. Issues related to adequate lexicalization of concepts central to food addiction (e.g., craving, addiction) and global variations in eating culture and presentation of similar constructs (e.g. binge-eating) contribute to questions raised and identify avenues for further research. SUMMARY: Multidimensional cultural assessment is called for to characterize food addiction among diverse groups and improve our understanding of the etiology, maintenance, and sequelae of food addiction cross-culturally.

Measurement Invariance of the Modified Yale Food Addiction Scale 2.0 Across Gender and Racial Groups.

Objective: Food addiction reflects a substance use disorder framework, suggesting certain foods (e.g., high-fat, high-sugar foods) may trigger an addictive-like eating response in vulnerable individuals. This study explored whether the Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0), a newly validated and shortened measure of food addiction, is appropriate for use in heterogeneous samples. Assessment of mYFAS 2.0 invariance is essential, as this measure was developed for use as a brief screener in large epidemiological samples that are likely demographically diverse. Method: Multigroup confirmatory factor analysis examined measurement invariance across racial/ethnic (White, Black, and Hispanic) and gender (male, female) groups. Participants were recruited through Qualtrics qBus, which uses demographic quotas to recruit a sample representative of the U.S. census reference population. Individuals were included in analyses if they identified their race/ethnicity as White, Black, or Hispanic (N = 923). Results: Results supported full and partial measurement invariance across racial and gender groups, respectively. Discussion: Results increase confidence in the generalizability of findings using the mYFAS 2.0 and indicate that observed differences in prevalence rates, such as the higher rates of food addiction observed for women and Hispanic individuals, are likely due to true differences in the population rather than due to measurement bias.

Psychometric properties of the eating loss of control scale among postbariatric patients.

BACKGROUND: Assessing the complexities of eating behaviors in patients who undergo bariatric surgery is challenging. The Eating Loss of Control Scale (ELOCS), a measure of loss-of-control (LOC) eating, has not yet been evaluated psychometrically among bariatric surgery patients. OBJECTIVE: This study presents a psychometric examination of the ELOCS in postoperative bariatric surgery patients. SETTING: Academic medical center in the United States. METHODS: One hundred seventy-one postbariatric treatment-seeking adults (82.5% female, 52.4% white) with LOC eating completed the ELOCS and measures assessing eating psychopathology and mood. Confirmatory factor analysis (CFA) was used to test fit for a 1-factor solution. Exploratory factor analysis (EFA) examined alternative factor structures. RESULTS: CFA revealed poor fit for a 1-factor structure (χ2 = 220.375, degrees of freedom = 135, P < .001, comparative fit index = .917, Tucker-Lewis index = .906, root mean square error of approximation = .067). EFA data suggested an alternative factor solution (χ2 = 157.76, degrees of freedom = 118, P = .009, comparative fit index = .965, Tucker-Lewis index = .955, root mean square error of approximation = .047). Factor 1 (α = .88) reflected behavioral aspects and factor 2 (α = .92) reflected cognitive/emotional aspects of LOC eating. Bivariate correlations with measures of eating and other psychopathology suggested good construct validity for factors. CONCLUSIONS: Findings suggest possible differences in the construct validity of the ELOCS among postbariatric patients. The 1-factor solution previously supported in clinical and nonclinical groups demonstrated poor fit. EFA revealed a possible alternative 2-factor solution that aligns with emerging literature, suggesting that LOC eating presents differently in postbariatric patients. Researchers interested in LOC eating among bariatric patients should consider use of the ELOCS and testing the proposed alternative factor structure.

Examining Sleep Quality Following Sleeve Gastrectomy Among Patients with Loss-of-Control Eating.

BACKGROUND: Sleep is associated with post-bariatric surgical outcomes; however, little is known about sleep in bariatric patients with loss-of-control (LOC) eating, a consistent predictor of poorer weight outcomes. This study examined sleep quality and clinical correlates in sleeve gastrectomy patients with LOC eating. METHODS: Participants (N = 145) were treatment-seeking post-operative sleeve gastrectomy patients with LOC eating. Eating-disorder features were assessed with the Eating Disorder Examination-Bariatric Surgery Version Interview (EDE-BSV) and participants completed established measures assessing sleep, health-related quality of life, perceived stress, depression, and night eating. RESULTS: 58.6% of participants were characterized with "poor" sleep. Poor sleep quality was significantly associated with greater eating-disorder psychopathology, physical and mental functioning, night eating, perceived stress, and less % excess weight loss (EWL); these findings remained significant after controlling for %EWL and race. Regression analyses, adjusting for correlated variables, revealed that sleep quality significantly predicted mental functioning. CONCLUSIONS: Poor sleep quality was common among post-operative sleeve gastrectomy patients with LOC eating. Sleep quality was significantly associated with eating-disorder psychopathology, less post-operative weight loss, and psychosocial and physical functioning problems. These findings suggest the importance of assessment and treatment of sleep problems following sleeve gastrectomy. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT02259322.

Examining physical activity and correlates in adults with healthy weight, overweight/obesity, or binge-eating disorder.

OBJECTIVE: To examine physical activity and correlates among three subgroups of adults: healthy weight without binge eating (HW), overweight/obesity without binge eating (OW/OB), and core features of binge-eating disorder (BED). METHOD: Participants (N = 2,384) completed an online survey with established measures of physical activity, eating psychopathology, and health. Most participants were White (82.6%) women (66.7%). Participants were categorized into three study groups: HW (n = 948; 39.9%), OW/OB (n = 1,308; 55.1%), and BED (n = 120; 5.1%). RESULTS: The BED group had the highest proportion of self-reported insufficiently active individuals (63.8%), followed by OW/OB (41.7%), and HW (29.2%). Associations between self-reported physical activity, eating pathology, and health were generally small in HW and OW/OB groups, whereas associations were moderate in the BED group. Self-reported weekly bouts of physical activity were more strongly, positively related to self-reported physical health for OW/OB than HW, and this effect was even more pronounced for BED compared with HW or OW/OB. DISCUSSION: This is the first study, to our knowledge, to demonstrate a stronger association between self-reported physical activity and physical health for individuals with BED compared with OW/OB alone. The high rate of physical inactivity and the strong association between physical activity and health among participants with BED suggest physical activity as an important treatment target for individuals with BED.